Basket-ball-detection Image Dataset
Versions
goal-removed
v9
Apr 11, 2023
2023-04-05 3:22pm
v8
Apr 5, 2023
2023-03-29 5:47pm
v7
Mar 29, 2023
2023-03-27 5:27pm
v6
Mar 27, 2023
2023-03-23 4:58pm
v5
Mar 23, 2023
2023-03-23 12:59pm
v4
Mar 23, 2023
2023-03-22 8:39pm
v3
Mar 22, 2023
2023-03-21 5:47pm
v2
Mar 21, 2023
2023-03-21 4:37pm
v1
Mar 21, 2023
v4
2023-03-23 12:59pm
Generated on Mar 23, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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177 Total Images
View All Images
Dataset Split
Train Set 79%
139Images
Valid Set 14%
24Images
Test Set 8%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
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